Research Engineer / Scientist - Storage for LLM
Seattle, Washington, United States
R
USD 153K-300K Entry-level Full Time
Tasks
- Build custom GPU aware caching layers
- Design distributed KV cache system
- Evaluate caching algorithms
- Extend open source KV stores
- Implement cache consistency protocols
- Implement cache synchronization protocols
- Implement eviction strategies
- Implement memory aware sharding
- Implement replication strategies
- Integrate cache with batched decoding
- Integrate cache with model parallelism
- Integrate cache with token streaming pipelines
- Monitor system performance
- Optimize low-latency access and eviction policies
- Store and retrieve intermediate states for transformer LLMs
Perks/Benefits
Skills/Tech-stack
CUDA | Caching | Distributed Systems | Eviction policies | GPU Computing | KV cache | Key-Value Stores | Key-value | Language Models | Large Language Models | Latency optimization | Memory Management | Model Parallelism | Multi-tenant | Multi-tenant systems | Performance Monitoring | RDMA | Replication | Sharding | TTL | Throughput Optimization | Token streaming | Transformer | Triton | Value Stores | Windowed LRU
Education
N/A
Roles
Data Engineer | Engineer | Research Engineer | Systems Engineer
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